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Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.
Ensuring smooth operations is no small feat, whether you’re in charge of application performance, IT infrastructure, or business processes. Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts. For instance, in a web shop, sales might vary by day of the week.
Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.
Applications and services are often slowed down by under-performing DNS communications or misconfigured DNS servers, which can result in frustrated customers uninstalling your application. While our competitors only provide generic traffic monitoring without artificial intelligence, Dynatrace automatically analyzes DNS-related anomalies.
The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. DevOps metrics to help you meet your DevOps goals. Like any IT or business project, you’ll need to track critical key metrics. Here are nine key DevOps metrics and DevOps KPIs that will help you be successful.
Find and prevent application performance risks A major challenge for DevOps and security teams is responding to outages or poor application performance fast enough to maintain normal service. It should also be possible to analyze data in context to proactively address events, optimize performance, and remediate issues in real time.
Welcome back to the blog series where we provide you with deep dives into the latest observability awesomeness from Dynatrace , demonstrating how we bring scale, zero configuration, automatic AI driven alerting, and root cause analysis to all your custom metrics, including open source observability frameworks like StatsD, Telegraf, and Prometheus.
The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? By logging all titles as they are displayed, we can process these logs to identify anomalies and gain insights into system performance.
This blog post will share broadly-applicable techniques (beyond GraphQL) we used to perform this migration. So, we relied on higher-level metrics-based testing: AB Testing and Sticky Canaries. To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render.
Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. Optimizing RabbitMQ performance through strategies such as keeping queues short, enabling lazy queues, and monitoring health checks is essential for maintaining system efficiency and effectively managing high traffic loads.
Welcome to the blog series where we give you a deeper dive into the latest awesomeness around Dynatrace : how we bring scale, zero configuration, automatic AI driven alerting, and root cause analysis to all your custom metrics, including open source observability frameworks like StatsD, Telegraf, and Prometheus.
That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. In addition to tracing, observability also defines two other key concepts, metrics and logs. When software runs in a monolithic stack on on-site servers, observability is manageable enough. What is OpenTelemetry?
Now, Dynatrace has the ability to turn numerical values from logs into metrics, which unlocks AI-powered answers, context, and automation for your apps and infrastructure, at scale. Whatever your use case, when log data reflects changes in your infrastructure or business metrics, you need to extract the metrics and monitor them.
This article explores SLOs for service performance. According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. While this connection might sound simple, finding the right metrics to measure the needed SLIs takes time and effort.
As a result, it has an advantage over others in terms of visibility, brand image, and driving traffic. However, to tactically assess the website's performance , it needs to be measured in a well-thought-out manner. This article will learn about web performance testing and how Core Web Vitals plays a crucial and strategic part in it.
In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. Step-by-step guide: SRE-driven performance analysis with Dynatrace. Once Dynatrace sees the incoming traffic it will also show up in Dynatrace, under Transaction & Services. Dynatrace news.
Connection pools are also a great way to improve performance. New extensions enable AI-powered monitoring of connection pool performance. Furthermore, with this update you can: Get insights into connection pool metrics in context with the applications and services that use them. Automatically detect undersized connection pools.
By: Ankush Gulati , David Gevorkyan Additional credits: Michael Clark , Gokhan Ozer Intro Netflix has more than 220 million active members who perform a variety of actions throughout each session, ranging from renaming a profile to watching a title. This helps limit the outgoing traffic footprint considerably.
In my last blog , I’ve provided an example of this happening, whereby the traffic spiked and quadrupled the usual incoming traffic. Below is a step-by-step guide on how to do so, but if you’d prefer to watch the steps check out my Performance Clinic here. Step #3 Get an overview of the campaign traffic.
We accomplish this by gathering detailed column-level metrics that offer insights into the state and quality of each impression. These metrics include everything from validating identifiers to checking that essential columns are properly filled. Thus, all data in one region is processed by the Flink job deployed within thatregion.
You can either continue with the custom infrastructure metrics dashboard you created in Part I or use the dashboard we prepared here (Dynatrace login required). In our Dynatrace Dashboard tutorial, we want to add a chart that shows the bytes in and out per host over time to enhance visibility into network traffic.
Synthetic monitors provide a perfect means of continually monitoring the performance baselines of your web applications. However, understanding the performance of different application types requires an emphasis on different performancemetrics, that is, key performancemetrics.
Over the last two month s, w e’ve monito red key sites and applications across industries that have been receiving surges in traffic , including government, health insurance, retail, banking, and media. Breaking d own performance across U.S. On Thursday of that week, traffic increased to 153,000 sessions. .
The F5 BIG-IP Local Traffic Manager (LTM) is an application delivery controller (ADC) that ensures the availability, security, and optimal performance of network traffic flows. Detect and respond to security threats like DDoS attacks or web application attacks by monitoring application traffic and logs.
Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. Several tools can be used to collect metrics in load/performance testing.
How viewers are able to watch their favorite show on Netflix while the infrastructure self-recovers from a system failure By Manuel Correa , Arthur Gonigberg , and Daniel West Getting stuck in traffic is one of the most frustrating experiences for drivers around the world. Logs and background requests are examples of this type of traffic.
This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. These mechanisms are often compared to a conductor directing an orchestra to perform elaborate symphonies and juicy operas for our enjoyment. In production, containers are easy to replicate. Networking.
As monolithic applications have given way to cloud-connected microservices that perform distinct functions, containerized environments, such as the Kubernetes platform, have become the framework of choice. It controls the delivery of service requests to other services, performs load balancing, encrypts data, and discovers other services.
VPC Flow Logs is an Amazon service that enables IT pros to capture information about the IP traffic that traverses network interfaces in a virtual private cloud, or VPC. By default, each record captures a network internet protocol (IP), a destination, and the source of the traffic flow that occurs within your environment.
With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards.
Each SNMP-enabled device provides access to its state and performancemetrics in a simple and robust way that allows Dynatrace to fetch the metrics and run them through Davis®, our AI causation engine. With the new extension framework, thanks to our API-first approach, there are no operations to be performed in the web UI.
In February 2021, Dynatrace announced full support for Google’s Core Web Vitals metrics , which will help site owners as they start optimizing Core Web Vitals performance for SEO. Not everyone has expertise in performance optimization and how it can impact SEO. But you may be wondering, “how do I get started?”. 28-day lookbacks.
VPC Flow Logs is a feature that gives you the capability to capture more robust IP traffic data that traverses your VPCs. A full list of metrics can be found here and include dimensions such as the following: Packets. Log Metrics. What is VPC Flow Logs. The number of packets transferred during the flow. Resource type.
This article outlines the key differences in architecture, performance, and use cases to help determine the best fit for your workload. Architecture Comparison RabbitMQ and Kafka have distinct architectural designs that influence their performance and suitability for different use cases.
By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. When organizations implement SLOs, they can improve software development processes and application performance. The performance SLO needs a custom SLI metric, which you can configure as follows.
For a more proactive approach and to gain further visibility, other SLOs focusing on performance can be implemented. When the SLO status converges to an optimal value of 100%, and there’s substantial traffic (calls/min), BurnRate becomes more relevant for anomaly detection. What characterizes a weak SLO?
In the 2023 Perform session “SLOs done right: A practitioners guide,” Michael Cabrera, SRE lead at Vivint, and Andreas Grabner, DevSecOps activist at Dynatrace, break down the state of SLOs and discuss how teams can adopt successful SLOs, avoid less-than-ideal objectives, and ultimately build better SLOs. The result?
By Jose Fernandez , Sebastien Dabdoub , Jason Koch , Artem Tkachuk The Compute and Performance Engineering teams at Netflix regularly investigate performance issues in our multi-tenant environment. Traditional performance analysis tools such as perf can introduce significant overhead, risking further performance degradation.
It features high-performance filtering, masking, routing, and encryption capabilities that are easy to configure and operate. Dynatrace is essential for unlocking that gold mine of data, allowing you to enhance application performance, deliver better experiences, and optimize operational efficiency.
Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. Certain SLOs can help organizations get started on measuring and delivering metrics that matter. But how do you get started, and what are some service level objective examples?
Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. It is proactive monitoring that simulates traffic with established test variables, including location, browser, network, and device type.
As a result, site reliability has emerged as a critical success metric for many organizations. With so many of their transactions occurring online, customers are becoming more demanding, expecting websites and applications to always perform perfectly. The volume of travel spending booked online is expected to reach nearly $1.5
Customers can also proactively address issues using Davis AI’s predictive analytics capabilities by analyzing network log content, such as retries or anomalies in performance response times. It also enhances syslog messages with additional context and optimizes network traffic, improving overall system resilience and security.
Organizations that want a high-performance language with a great ecosystem for their applications often use Golang , an open-source programming language. With Dynatrace OneAgent you also benefit from support for traffic routing and traffic control. Dynatrace news. An observability framework alone is not enough.
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